Cart (Loading....) | Create Account
Close category search window

Neuromorphic Adaptive Plastic Scalable Electronics: Analog Learning Systems

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Srinivasa, N. ; Inf. & Syst. Sci. Dept., HRL Labs., Malibu, CA, USA ; Cruz-Albrecht, J.M.

This article provides an overview of the HRL Systems of Neuromorphic Adaptive Plastic Scalable Electronics (SyNAPSE) project and progress made thus far. The multifaceted SyNAPSE program seeks to advance the state of the art in biological algorithms and in developing a new generation of neuromorphic electronic machines necessary for the efficient implementation of these algorithms by drawing inspiration from biology.The fundamental premise of the HRL team to develop brain architecture and related tools has been to recognize that there was a sequence of evolutionary events by which the brain architecture evolved from a primitive brain into a modern brain.

Published in:

Pulse, IEEE  (Volume:3 ,  Issue: 1 )

Date of Publication:

Jan. 2012

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.